Snowflake Semantic Layer MCP Server

Example Use Cases

• 1

  Translate ambiguous natural language queries into accurate Snowflake SQL.

• 2

  A centralized semantic model to ensure consistent business logic definitions.

• 3

  Integrate with Snowflake data using MCP protocol.

Description

This MCP server acts as a semantic layer for Snowflake by centralizing business logic definitions in a shared glossary, enabling consistent understanding of terms like 'Revenue' across dashboards, scripts, and AI agents. It translates ambiguous human language queries into Snowflake SQL using the glossary and data model context, facilitating intelligent data access. The server integrates with MCP clients and supports LLM-to-SQL translation, improving data query accuracy and reducing fragmented business logic.